Tera Marie Green

542 total citations
12 papers, 352 citations indexed

About

Tera Marie Green is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, Tera Marie Green has authored 12 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 4 papers in Experimental and Cognitive Psychology and 3 papers in Artificial Intelligence. Recurrent topics in Tera Marie Green's work include Data Visualization and Analytics (10 papers), Visual and Cognitive Learning Processes (4 papers) and Geographic Information Systems Studies (2 papers). Tera Marie Green is often cited by papers focused on Data Visualization and Analytics (10 papers), Visual and Cognitive Learning Processes (4 papers) and Geographic Information Systems Studies (2 papers). Tera Marie Green collaborates with scholars based in Canada and United States. Tera Marie Green's co-authors include William Ribarsky, Brian Fisher, Caroline Ziemkiewicz, Remco Chang, Dong Hyun Jeong, John C. Dill, Ross Maciejewski, Steve DiPaola and Kayvan Najarian and has published in prestigious journals such as IEEE Computer Graphics and Applications, interactions and Topics in Cognitive Science.

In The Last Decade

Tera Marie Green

12 papers receiving 335 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tera Marie Green Canada	8	272	118	45	39	34	12	352
H. Lam Canada	4	472 1.7×	156 1.3×	78 1.7×	27 0.7×	105 3.1×	5	540
Paolo Federico Austria	9	265 1.0×	96 0.8×	26 0.6×	11 0.3×	23 0.7×	18	371
Heidi Lam Canada	10	370 1.4×	121 1.0×	67 1.5×	18 0.5×	98 2.9×	17	508
Shunan Guo United States	12	331 1.2×	193 1.6×	31 0.7×	26 0.7×	34 1.0×	27	483
Evanthia Dimara France	7	212 0.8×	104 0.9×	31 0.7×	30 0.8×	43 1.3×	14	305
Aoyu Wu Hong Kong	15	388 1.4×	156 1.3×	37 0.8×	14 0.4×	90 2.6×	22	529
Anne Schur United States	3	270 1.0×	161 1.4×	16 0.4×	10 0.3×	35 1.0×	9	391
Nicholas Kong United States	7	455 1.7×	176 1.5×	37 0.8×	16 0.4×	63 1.9×	12	565
V.L. Crow United States	4	305 1.1×	175 1.5×	15 0.3×	10 0.3×	38 1.1×	4	392
Eli T. Brown United States	8	329 1.2×	174 1.5×	41 0.9×	18 0.5×	33 1.0×	18	518

Countries citing papers authored by Tera Marie Green

Since Specialization

Citations

This map shows the geographic impact of Tera Marie Green's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tera Marie Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tera Marie Green more than expected).

Fields of papers citing papers by Tera Marie Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tera Marie Green. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tera Marie Green. The network helps show where Tera Marie Green may publish in the future.

Co-authorship network of co-authors of Tera Marie Green

This figure shows the co-authorship network connecting the top 25 collaborators of Tera Marie Green. A scholar is included among the top collaborators of Tera Marie Green based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tera Marie Green. Tera Marie Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Green, Tera Marie, et al.. (2013). A Role for Reasoning in Visual Analytics. 13. 1495–1504. 8 indexed citations

2.

Green, Tera Marie & Brian Fisher. (2012). Using translational science in visual analytics. 1. 221–222. 1 indexed citations

3.

Fisher, Brian, et al.. (2011). Visual Analytics as a Translational Cognitive Science. Topics in Cognitive Science. 3(3). 609–625. 20 indexed citations

4.

Dill, John C., et al.. (2011). Visual analytics and human-computer interaction. interactions. 18(1). 51–55. 7 indexed citations

5.

Green, Tera Marie, Dong Hyun Jeong, & Brian Fisher. (2010). Using Personality Factors to Predict Interface Learning Performance. 1–10. 15 indexed citations

6.

Green, Tera Marie, Ross Maciejewski, & Steve DiPaola. (2010). ALIDA: Using machine learning for intent discernment in visual analytics interfaces. 223–224. 5 indexed citations

7.

Green, Tera Marie, William Ribarsky, & Brian Fisher. (2009). Building and applying a human cognition model for visual analytics. Information Visualization. 8(1). 1–13. 63 indexed citations

8.

Chang, Remco, Caroline Ziemkiewicz, Tera Marie Green, & William Ribarsky. (2009). Defining Insight for Visual Analytics. IEEE Computer Graphics and Applications. 29(2). 14–17. 100 indexed citations

9.

Green, Tera Marie, William Ribarsky, & Brian Fisher. (2009). Building and Applying a Human Cognition Model for Visual Analytics. Information Visualization. 8(1). 1–13. 60 indexed citations

10.

Green, Tera Marie & William Ribarsky. (2008). Using a human cognition model in the creation of collaborative knowledge visualizations. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6983. 69830C–69830C. 7 indexed citations

11.

Green, Tera Marie, William Ribarsky, & Brian Fisher. (2008). Visual analytics for complex concepts using a human cognition model. 91–98. 65 indexed citations

12.

Green, Tera Marie & Kayvan Najarian. (2007). Correlations between Emotion Regulation, Learning Performance, and Cortical Activity. eScholarship (California Digital Library). 29(29). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact